Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • newkid
    Junior Member
    • Oct 2012
    • 9

    #1

    Minimum coverage requirement for 50Mbp alignment?

    As the title says? What's the minimum coverage required for alignment of approx ~50Mbp to a reference?
  • byou678
    Member
    • Aug 2011
    • 52

    #2
    Could anyone give the general coverage requirement criteria for alignment?

    Thanks.

    Comment

    • swbarnes2
      Senior Member
      • May 2008
      • 910

      #3
      It depends what you are doing, and your question is so vague it's almost nonsensical.

      To, say, call homozygous SNPs, 30x is a good goal. For RNAseq, you might want more.

      Comment

      • krobison
        Senior Member
        • Nov 2007
        • 734

        #4
        To echo swbarnes2, you need to specify your problem both in terms of experiment design & goals.

        In particular, what does the 50Mbp have to do with it? Is this the genome size? Do you have a set of clones which should add up to 50Mbp? Are you trying to capture 50Mbp? The latter two would require baking in some overage for vector or off-target sequences.

        Comment

        • newkid
          Junior Member
          • Oct 2012
          • 9

          #5
          Looks like I have a lot to learn.. The problem is, I don't even know what questions I should be asking.

          Is there a good beginner friendly guide out there that dives into practical application?

          Comment

          • Genohub
            Registered Vendor
            • Mar 2013
            • 210

            #6
            Depth of Coverage Guide for Several NGS Applications

            You can use the coverage requirements in this guide as a starting point. I also recommend taking a look at the ENCODE Consortium guidelines (referenced).

            Comment

            • Rocketknight
              Member
              • Sep 2011
              • 86

              #7
              In general, your total coverage target should depend on your experimental setup. As the other posters have mentioned, if you're sequencing a 50mb genome, then all of your reads should come from that genome. If you're doing 50mb exome sequencing from a much larger genome, then a lot of your reads will fall outside the target regions because the capture isn't 100% efficient, and you'll also have issues with some areas capturing or amplifying better than others.

              Also, the coverage requirement will depend on what you want to get out of sequencing. If every sample is individually important (e.g. for clinical studies), and you want to see every SNP and indel, even heterozygous ones, in every sample then you'll need high coverage, like 100+ (say 3-4 samples per lane of a HiSeq 1000/2000, or a 1500/2500 running in high-output mode).

              If you're more interested in population-level data where the exact genotype for a single sample isn't crucial, or you only care about homozygous mutations, you can probably go lower. If you're confused, give us some more info about what your goals for this sequencing project are and I'll try to suggest a reasonable coverage target.

              Comment

              Latest Articles

              Collapse

              • SEQadmin2
                Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
                by SEQadmin2



                CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

                Despite this, “CRISPR helped turn genome editing from a specialized technique into
                ...
                07-31-2026, 11:01 AM
              • SEQadmin2
                Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
                by SEQadmin2


                Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

                The systematic characterization of the human proteome has
                ...
                07-20-2026, 11:48 AM

              ad_right_rmr

              Collapse

              News

              Collapse

              Topics Statistics Last Post
              Started by SEQadmin2, 08-06-2026, 07:41 AM
              0 responses
              23 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 08-03-2026, 10:13 AM
              0 responses
              38 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-31-2026, 02:55 AM
              0 responses
              43 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-24-2026, 12:17 PM
              0 responses
              26 views
              0 reactions
              Last Post SEQadmin2  
              Working...